Earnings Predictability, Tariff Uncertainty, and Cost of Debt: Evidence from a Natural Experiment

53 Pages Posted: 15 Apr 2022 Last revised: 28 Apr 2023

See all articles by Huasheng Gao

Huasheng Gao

Fanhai International School of Finance, Fudan University

Yuxi Wang

Shanghai Jiao Tong University (SJTU) - Antai College of Economics and Management

Date Written: April 4, 2022

Abstract

Based on a clean measure of earnings predictability from the tariff source, we show that enhancing firms’ earnings predictability has a causal effect on reducing cost of debt. Our tests exploit a unique trade policy that increases firms’ earnings predictability by reducing tariff uncertainty on Chinese imports without affecting the actual tariff rate: the U.S.-China Permanent Normal Trade Relations (PNTR). We find a significant drop in the loan spreads for firms affected by PNTR relative to other firms. We further show that such effects are indeed through the channel of increasing firms’ earnings predictability.

Keywords: earnings predictability, cost of debt, bank loans, tariff uncertainty, Permanent Normal Trade Relation

Suggested Citation

Gao, Huasheng and Wang, Yuxi, Earnings Predictability, Tariff Uncertainty, and Cost of Debt: Evidence from a Natural Experiment (April 4, 2022). Available at SSRN: https://ssrn.com/abstract=4074265. or http://dx.doi.org/10.2139/ssrn.4074265

Huasheng Gao

Fanhai International School of Finance, Fudan University ( email )

Beijing West District Baiyun Load 10th
Shanghai, 100045
China
2165642222 (Phone)
2165642222 (Fax)

Yuxi Wang (Contact Author)

Shanghai Jiao Tong University (SJTU) - Antai College of Economics and Management ( email )

No.1954 Huashan Road
Shanghai Jiao Tong University
Shanghai, Shanghai 200030
China

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